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基于粗糙集的特征选择matlab源代码
- 基于粗糙集的特征选择matlab源代码
ComputationalMethodsofFeatureS
- 一本关于模式识别中的特征选择的计算方法和模型的文集，比较实用。,A book on the various feature selection methods and models in pattern recognition. Very useful.
mr-runk
- 基于互信息理论的最大相关排序算法，可应用于各领域的特征选择。-Maximum mutual information based relevance ranking algorithm theory can be applied to all areas of feature selection.
Successive-Projections-Algorithm
- 主要用于近红外光谱处理中光谱特征选择，是目前近红外光谱数据处理的重要方法之一。-Successive Projections Algorithm for NIR data analysis
tezhengxuanzhe
- 利用最小互信息实现向量的特征选择，优化分类器的设计，原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
SVM
- 基于改进SVM的特征选择，可以帮助大家认识SVM-To improve the SVM-based feature selection can help you understand the SVM
Patternrecognition
- 模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
ica_appD_demo
- 高校的ICA计算代码，广泛用于特征选择，降维，目标识别等-Colleges and universities ICA calculation code, widely used in feature selection, dimensionality reduction, target identification, etc.
featureselection
- 模式分类中的特征选择,希望大家可以参考一下.-Pattern Classification in feature selection, hope that we can reference.
Vsvm3.0
- Vsvm3.0是一款window系统下运行的可视化svm算法工具，除了普通的分类和回归算法，还带有多目标回归预测；内含多种参数方式和序列极小化特征选择算法；并且支持多核并行运算-Vsvm3.0 is a window system running svm algorithm visualization tool, in addition to general classification and regression algorithms, but also with a multi-objec
psofeatureselection
- 用粒子群优化算法进行特征选择和SVM参数优化-Using Particle Swarm Optimization algorithm of feature selection and SVM parameter optimization
LSFS
- 有监督的特征选择和优化程序MATLAB代码，基于最小二乘算法。内有测试数据，和详细程序说明-Least-Squares Feature Selection (LSFS) is a feature selection method for supervised regression and classification. LSFS orders input features according to their dependence on output values. Dependency bet
mrmr
- 特征选择的最大相关最小冗余算法，采用信息理论作为度量标准。-Feature selection algorithm for minimum redundancy and maximum correlation, the use of information theory as a metric.
binaries-2.0.5-win32
- 上传文件包括编译运行平台和许多实例。Answer set programming(简称ASP)是国外近几年兴起的一种重要的逻辑编程语言，对于求解NP问题有良好的时间上限优势。例如图的着色问题，哈密顿回路问题，sudoku问题，生物医学的特征选择问题等等。加上我上传的logic学习资料配套使用。-uploaded file include the compile and develop platform and many examples. Answer set programming is a
pca
- 该代码为PCA主成分分析，可用于特征选择，选取贡献最大的前三个主成分-The code for the PCA principal component analysis, can be used for feature selection, select the largest contribution to the first three principal components
mds
- 本代码是关于Multi-Dimensional Scaling（MDS）的代码，可以用于特征提取、特征选择，或是矩阵降维。-This file is part of the Matlab Toolbox for Dimensionality Reduction v0.4b. You are free to use, change, or However,
moshishibie
- 模式识别中关于特征选择和特征提取的知识-Pattern recognition on feature selection and feature extraction of knowledge. . .
feature_selection
- 两个源文件进行最小冗余和最大相关特征选择，主要用于图像特征选择里面-Two source files and the maximum correlation minimum redundancy feature selection, which is mainly used for image feature selection
Chinese-text-categorization-Study
- 本文通过对Bayes、KNN、SVM 应用于中文文本分类进行比较实验研究。 应用ICTCLAS 对中文文档进行分词，在大维数，多数据情况下应用TFIDF 进行 特征选择，并同时利用它实现了对特征项进行加权处理，使文本库中的每个文本 具有统一的、可处理的结构模型。然后通过三类分类算法实现了对权值数据进行 训练和分类。-Based on the Bayes, KNN, SVM applied to compare the Chinese text ca
9.特征选择以及小波变换方面的案例
- 特征选择以及一些小波分析的案例说明 介绍等等(Feature selection and some cases of wavelet analysis are introduced and so on.)